loss_function_gcn: GCN Loss function

In ff98li/scRGNet: Perform scRNA-seq Analysis using Single-cell Graphical Neural Network (scGNN) Framework

Description

Loss function for optimising GCN using either AE or VAE

Usage

loss_function_gcn(
  VAE = FALSE,
  logvar = NULL,
  preds,
  labels,
  mu,
  n_nodes,
  norm,
  pos_weight
)

Arguments

VAE	Whether to use variational auto-encoder or not. Default False.
logvar	Used when VAE is set to TRUE. Default is NULL when using AE.
preds	Predictions made by GCN during training
labels	True values to checked against preds to calculate loss
mu	Mean of the Gaussian for auto-encoder
n_nodes	Number of nodes in the graph
norm	Norm
pos_weight	Weight parameter used to calculate loss

Value

Logistic-cross-entropy loss

#' @references \insertRefscGNNscRGNet

ff98li/scRGNet documentation built on Jan. 14, 2022, 4:58 a.m.